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Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs DeepSeek V3 0324

Too close to call on our weighted score (Mistral Small 3.1 24B 55, DeepSeek V3 0324 54). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  2. DeepSeek

    DeepSeek V3 0324

    Released Mar 24, 2025

    54/100
    • ECI135.9
    • Price$0.24 / $0.90
    • Context164K
    Full specs Remove DeepSeek V3 0324

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Mistral Small 3.1 24B 55/100, DeepSeek V3 0324 54/100), so choose by what matters most for your work: DeepSeek V3 0324 for raw capability and Mistral Small 3.1 24B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V3 0324Capabilities Index (ECI): DeepSeek V3 0324 135.9 · Mistral Small 3.1 24B 127.5
  • Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · DeepSeek V3 0324 $0.405 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsMistral Small 3.1 24BMistral Small 3.1 24B: Text, Images · DeepSeek V3 0324: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BDeepSeek V3 0324
CapabilityCapabilities Index (ECI)50%5060
Price25%7668
Inputs & features15%6025
Context window10%2428
Overall100%55/10054/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Small 3.1 24B vs DeepSeek V3 0324 specifications side by side
SpecificationMistral Small 3.1 24BMistral AIDeepSeek V3 0324DeepSeek
Capability
Capabilities Index (ECI)127.5135.9 (best)
ECI rank#132 of 148#114 of 148 (best)
GPQA DiamondGraduate-level science questions47.5%67.6% (best)
OTIS Mock AIME 2024–2025Competition mathematics5.8%37.8% (best)
Price per million tokens
Input$0.229 (best)$0.24
Output$0.436 (best)$0.90
Cached input——
Blended (3:1)$0.281 (best)$0.405
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 5 providers
Limits
Context window128,000 tokens163,840 tokens (best)
Max output16,384 tokens163,840 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID——
API providers25 (best)
ReleasedMar 17, 2025Mar 24, 2025
Knowledge cutoffJun 2024—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Mistral Small 3.1 24B$3.16
  • DeepSeek V3 0324$4.20
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or DeepSeek V3 0324?

It is close. Our weighted score puts them within 1 points (Mistral Small 3.1 24B 55/100, DeepSeek V3 0324 54/100), so choose by what matters most for your work: DeepSeek V3 0324 for raw capability and Mistral Small 3.1 24B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B or DeepSeek V3 0324?

Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). DeepSeek V3 0324 costs $0.24 input / $0.90 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus $0.405 for DeepSeek V3 0324 (1.4× as much).

Which scores higher on benchmarks?

DeepSeek V3 0324 scores higher on the Capabilities Index (ECI): DeepSeek V3 0324 135.9 (#114 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). Their confidence ranges do not overlap (132.4–138.0 vs 122.6–129.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V3 0324 67.6%, Mistral Small 3.1 24B 47.5%; OTIS Mock AIME 2024–2025 — DeepSeek V3 0324 37.8%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and DeepSeek V3 0324 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V3 0324 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

DeepSeek V3 0324 has the largest context window at 163,840 tokens, against 128,000 for Mistral Small 3.1 24B. Maximum output per response: Mistral Small 3.1 24B up to 16,384, DeepSeek V3 0324 up to 163,840 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; DeepSeek V3 0324 accepts text. Mistral Small 3.1 24B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

DeepSeek V3 0324 is the newest, released Mar 24, 2025. Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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